01Overview
About the job
A world-leading global innovator of business and technology services, this company partners with 75% of the Fortune Global 100 to drive innovation, optimize operations, and achieve long-term success. With a global presence and a robust ecosystem of partners, they are at the forefront of digital and AI infrastructure.
The Role
Design, develop, train, and deploy Machine Learning models for enterprise use cases.
Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
Develop automated ML pipelines for model training, testing, deployment, and monitoring.
Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
What You'll Need
5+ years of experience in Python development, Data Science, or Machine Learning engineering.
3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
3+ years of experience with data processing, feature engineering, SQL, and model development.
2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
Strong analytical, problem-solving, communication, and stakeholder management skills.
What's On Offer
Opportunity to work with cutting-edge AI/ML technologies, including Generative AI and LLMs.
Collaborative environment with data scientists, data engineers, and business stakeholders.
Focus on building production-ready ML solutions and integrating AI capabilities into enterprise applications.
Competitive compensation.
Apply via Haystack today!
